Add README for MXNet LeNet example (intel-analytics#2208)

* initial readme * update * typo * typo * add batch size * update style * add validation for gluon * fix style * minor * update * minor * more doc * minor
dding3 · Apr 14, 2020 · 23298f2 · 23298f2
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commit 23298f2
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diff --git a/finetune/image_finetuning_example.py b/finetune/image_finetuning_example.py
@@ -39,7 +39,7 @@
     parser.add_option("--b", "--batch_size", type=int, dest="batch_size", default="56",
                       help="The number of samples per gradient update. Default is 56.")
     parser.add_option("--nb_epoch", type=int, dest="nb_epoch", default="2",
-                      help="The number of iterations to train the model. Default is 2.")
+                      help="The number of epochs to train the model. Default is 2.")
     parser.add_option("--r", "--learning_rate", type=float, dest="learning_rate", default="0.003",
                       help="The learning rate for the model. Default is 0.003.")
 

diff --git a/...b/src/bigdl/dllib/examples/nnframes/imageTransferLearning/ImageTransferLearningExample.py b/...b/src/bigdl/dllib/examples/nnframes/imageTransferLearning/ImageTransferLearningExample.py
@@ -40,7 +40,7 @@
     parser.add_option("--b", "--batch_size", type=int, dest="batch_size", default="56",
                       help="The number of samples per gradient update. Default is 56.")
     parser.add_option("--nb_epoch", type=int, dest="nb_epoch", default="20",
-                      help="The number of iterations to train the model. Default is 20.")
+                      help="The number of epochs to train the model. Default is 20.")
     parser.add_option("--r", "--learning_rate", type=float, dest="learning_rate", default="0.002",
                       help="The learning rate for the model. Default is 0.002.")